Senior Data Engineer Location: Liverpool National pay location: Liverpool £44,720 - £47,850 Plus a Capability and Skills allowance: An additional allowance may be payable, pending a capability and skills assessment, with a value of up to £12,680. A Civil Service Pension with an employer contribution of 28.97% Senior Data Engineers deliver on the data analytics vision for the organisation as set by the Principal Data Engineer. You will focus on driving the design and implementation of numerous data flows to connect operational systems, data for analytics and BI systems. You will achieve this by leading a small team of Data Engineers through delivering new hybrid datasets, improving existing models and removing barriers to the required business information. As a Senior Data Engineer, you will identify and deliver new data sources and develop Extract, Transform, Load (ETL) processes. You will also collaborate with the Data Acquisition, Analytics and Infrastructure teams to deliver the data strategy through the design and implementation of technology systems. You will support Lead Data Engineers in analysing problems and data analysis issues, looking for underlying causes and assisting in developing solutions. You will also be responsible for delivering data solutions in accordance with agreed organisational standards that ensure services are resilient, scalable and future proof. You will work closely with the Data Services Science community, who will set the scope of your data engineering work through their research of user and business needs and by their designing data pipelines through writing user stories. Responsibilities Day to day duties include but are not limited to: Designing, building and testing data products based on feeds from multiple systems using a range of different storage technologies and/or access methods. Applying the concepts and principles of data modelling to produce, maintain and update relevant data models for specific business needs, including reverse engineering data models from a live system. Undertaking data profiling and source system analysis and presenting clear insights to colleagues to support the end use of the data. Ensuring the development of requirements from full development, test and through to deployment life cycles, while maintaining the schedule of work. Supporting with the development of methods to monitor and improve data quality in source systems using feedback from the Analytics team. Undertaking changes to existing routines following change control procedures and then liaising with team members and other teams to communicate delivery and impact of change. Working with data privacy and information security staff to assure that security and privacy requirements are identified and addressed in your solutions. Working closely with the Data Engineering community to promote challenge from, collaborate with, and ensure an agile approach to working is being adopted.